Àâòîð: Chapra, Steven C. Íàçâàíèå: Numerical methods for engineers ISBN: 007126759X ISBN-13(EAN): 9780071267595 Èçäàòåëüñòâî: McGraw-Hill Ðåéòèíã: Öåíà: 61770.00 T Íàëè÷èå íà ñêëàäå: Íåâîçìîæíà ïîñòàâêà. Îïèñàíèå: Numerical Methods for Engineers
Àâòîð: T. W. Anderson Íàçâàíèå: An Introduction to Multivariate Statistical Analysis, Third Edition ISBN: 0471360910 ISBN-13(EAN): 9780471360919 Èçäàòåëüñòâî: Wiley Ðåéòèíã: Öåíà: 184750.00 T Íàëè÷èå íà ñêëàäå: Åñòü ó ïîñòàâùèêà Ïîñòàâêà ïîä çàêàç. Îïèñàíèå: Uses the method of maximum likelihood to a large extent to ensure reasonable, and in some cases optimal procedures. This work treats the basic and important topics in multivariate statistics.
Àâòîð: Hastings Íàçâàíèå: Introduction to Probability with Mathematica, Second Edition ISBN: 1420079387 ISBN-13(EAN): 9781420079388 Èçäàòåëüñòâî: Taylor&Francis Ðåéòèíã: Öåíà: 183750.00 T Íàëè÷èå íà ñêëàäå: Íåâîçìîæíà ïîñòàâêà. Îïèñàíèå: Updated to conform to Mathematica (R) 7.0, this second edition shows how to easily create simulations from templates and solve problems using Mathematica. Along with new sections on order statistics, transformations of multivariate normal random variables, and Brownian motion, this edition offers an expanded section on
Àâòîð: Simon Marvin K., Riedel Eibe Íàçâàíèå: Probability Distributions Involving Gaussian Random Variables / A Handbook for Engineers and Scientists ISBN: 0387346570 ISBN-13(EAN): 9780387346571 Èçäàòåëüñòâî: Springer Ðåéòèíã: Öåíà: 65210.00 T Íàëè÷èå íà ñêëàäå: Åñòü ó ïîñòàâùèêà Ïîñòàâêà ïîä çàêàç. Îïèñàíèå: This handbook brings together a comprehensive collection of mathematical material in one location. It also offers a variety of new results interpreted in a form that is particularly useful to engineers, scientists, and applied mathematicians.
Àâòîð: Commandeur, Jacques J.F.; Koopman, Siem Jan Íàçâàíèå: An Introduction to State Space Time Series Analysis ISBN: 0199228876 ISBN-13(EAN): 9780199228874 Èçäàòåëüñòâî: Oxford Academ Ðåéòèíã: Öåíà: 51210.00 T Íàëè÷èå íà ñêëàäå: Åñòü ó ïîñòàâùèêà Ïîñòàâêà ïîä çàêàç. Îïèñàíèå: This text provides an introduction to time series analysis using state space methodology to readers who are neither familiar with time series analysis, nor with state space methods. This is the first in a series of books designed to provide practitioners, researchers, and students with practical introductions to various topics in econometrics.
Àâòîð: Douglas C. Montgomery,Cheryl L. Jennings,Murat Kul Íàçâàíèå: Introduction to Time Series Analysis and Forecasting ISBN: 1118745116 ISBN-13(EAN): 9781118745113 Èçäàòåëüñòâî: Wiley Ðåéòèíã: Öåíà: 121390.00 T Íàëè÷èå íà ñêëàäå: Ïîñòàâêà ïîä çàêàç. Îïèñàíèå: Praise for the First Edition " [t]he book is great for readers who need to apply the methods and models presented but have little background in mathematics and statistics.
Íàçâàíèå: Probability And Risk Analysis: An Introduction for Engineers ISBN: 3642063462 ISBN-13(EAN): 9783642063466 Èçäàòåëüñòâî: Springer Ðåéòèíã: Öåíà: 83810.00 T Íàëè÷èå íà ñêëàäå: Åñòü ó ïîñòàâùèêà Ïîñòàâêà ïîä çàêàç. Îïèñàíèå: A textbook presenting notions and ideas at the foundations of a statistical treatment of risks. The text is unlike that found in traditional mathematics literature and differs from typical textbooks in its verbal approach to many explanations and examples.
Àâòîð: Koralov Íàçâàíèå: Theory of Probability and Random Processes ISBN: 3540254846 ISBN-13(EAN): 9783540254843 Èçäàòåëüñòâî: Springer Ðåéòèíã: Öåíà: 55890.00 T Íàëè÷èå íà ñêëàäå: Åñòü ó ïîñòàâùèêà Ïîñòàâêà ïîä çàêàç. Îïèñàíèå: A one-year course in probability theory and the theory of random processes, taught at Princeton University to undergraduate and graduate students, forms the core of the content of this bookIt is structured in two parts: the first part providing a detailed discussion of Lebesgue integration, Markov chains, random walks, laws of large numbers, limit theorems, and their relation to Renormalization Group theory. The second part includes the theory of stationary random processes, martingales, generalized random processes, Brownian motion, stochastic integrals, and stochastic differential equations. One section is devoted to the theory of Gibbs random fields.This material is essential to many undergraduate and graduate courses. The book can also serve as a reference for scientists using modern probability theory in their research.
A Hands-On Approach to Teaching Introductory Statistics
Expanded with over 100 more pages, Introduction to Statistical Data Analysis for the Life Sciences, Second Edition presents the right balance of data examples, statistical theory, and computing to teach introductory statistics to students in the life sciences. This popular textbook covers the mathematics underlying classical statistical analysis, the modeling aspects of statistical analysis and the biological interpretation of results, and the application of statistical software in analyzing real-world problems and datasets.
New to the Second Edition
A new chapter on non-linear regression models
A new chapter that contains examples of complete data analyses, illustrating how a full-fledged statistical analysis is undertaken
Additional exercises in most chapters
A summary of statistical formulas related to the specific designs used to teach the statistical concepts
This text provides a computational toolbox that enables students to analyze real datasets and gain the confidence and skills to undertake more sophisticated analyses. Although accessible with any statistical software, the text encourages a reliance on R. For those new to R, an introduction to the software is available in an appendix. The book also includes end-of-chapter exercises as well as an entire chapter of case exercises that help students apply their knowledge to larger datasets and learn more about approaches specific to the life sciences.
Àâòîð: Durrett, Rick Íàçâàíèå: Elementary probability for applications ISBN: 0521867568 ISBN-13(EAN): 9780521867566 Èçäàòåëüñòâî: Cambridge Academ Ðåéòèíã: Öåíà: 70740.00 T Íàëè÷èå íà ñêëàäå: Åñòü ó ïîñòàâùèêà Ïîñòàâêà ïîä çàêàç. Îïèñàíèå: This is a perfect one-semester introduction to probability, for students who are familiar with basic calculus. The lively style reflects the author`s philosophy that the best way to learn probability is to see it in action, and he gives over 200 examples from genetics, sports, finance, and current events.
